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ml-train

Execute training runs with proper monitoring, checkpointing, and experiment tracking. Use when starting training, resuming training, debugging training issues, or setting up multi-GPU/distributed training with PyTorch Lightning and Hydra.

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Atualizado há 6 meses

Ver no GitHub ↗ Licença: MIT

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/plugin marketplace add nishide-dev/claude-code-ml-research

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Ler descrição completa

ML Training Execution

Execute training runs with proper monitoring, checkpointing, and experiment tracking using PyTorch Lightning and Hydra.

Quick Start

Choose a training template based on your setup:

  • [Basic single-GPU](templates/basic-training.yaml) - Simple training on one GPU
  • [Multi-GPU single-node](templates/multi-gpu-training.yaml) - Multiple GPUs on one machine
  • [Distributed multi-node](templates/distributed-training.yaml) - Training across multiple machines
  • **

[Description truncada. Veja o README completo no GitHub.]

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